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allanplot.m
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#!/usr/bin/octave-cli --persist |
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# allanplot.m computes Allan deviation from temporal dataset # # use : allanplot.m file.dat column_i gain_i ad_opt # allanplot.m file.dat [column_i,column_j] [gain_i,gain_j] [ad_opt_i,ad_opt_j] # # inputs: # file.dat : [string] file to load # columns : int or [int] columns to load |
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# fs : int or [int] sampling frequency |
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# gains : float or [float] gains to apply # ad_opt : int or [int] ad options : # 0 direct allan computation # 1 drift removed ad # 2 relative ad # 3 relative drift removed ad |
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# arg_save : [int] save adev with one file per column : # 0 without save # 1 save adev result to file-col.sig |
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filename = argv(){1}; col = eval(argv(){2}); |
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fs = eval(argv(){3}); mult = eval(argv(){4}); ad_opt = eval(argv(){5}); |
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arg_save = eval(argv(){6}); |
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if length(col) == length(mult) |
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figure hold all grid on cc = 'bkcgmry'; for i = [1:length(col)] data.freq = load(filename)(:,col(i)).*mult(i); |
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if ad_opt(i) == 1 printf(strcat(filename, ' col', num2str(col(i)), ' drift removed ')) data.freq = detrend(data.freq); elseif ad_opt(i) == 2 printf(strcat(filename, ' col', num2str(col(i)), ' relative ad : mean=', num2str(mean(data.freq)), ' ')) data.freq = data.freq./mean(data.freq); elseif ad_opt(i) == 3 printf(strcat(filename, ' col', num2str(col(i)), ' drift removed relative ad ')) data.freq = detrend(data.freq./mean(data.freq)); end |
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data.rate = fs(i); |
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[ad, S, err, tau] = allan(data, horzcat(reshape([1:0.1:9]'.*10.^[0:round(log10(length(data.freq)))-1],1,[]), 10^(round(log10(length(data.freq)))-1))./data.rate, strcat(strsplit(filename, '/'){end}, num2str(i)), 0); |
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loglogerr(tau, ad, err, strcat(cc(mod(i, length(cc))), '-s')) leg{i} = strcat(filename, ' col', num2str(col(i))); axis(10.^ceil(log10([tau(1), tau(end)]))) hold on |
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if arg_save ==1 filenameout = strcat(strsplit(filename,'.'){1},'-',num2str(col(i)),'.sig') datatosave = horzcat(tau', ad', err'); save('-ascii', filenameout , 'datatosave'); end |
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end legend(leg) input("Press to continue..."); |
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end |
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exit |